QA Test & Validation Framework - Support Automated Testing

We are seeking an experienced and detail-oriented Quality Assurance (QA) Test & Validation Framework Lead to spearhead the testing strategy for our sovereign AI platform. In this role, you will design and implement comprehensive quality assurance processes, with a strong emphasis on automation, performance, and reliability. You will be responsible for developing test strategies and frameworks that validate both traditional software components and AI-driven modules. By integrating continuous testing within CI/CD pipelines and establishing quality benchmarks, you will play a critical role in ensuring our platform meets the highest standards of functionality, scalability, and security. You will work closely with cross-functional engineering teams to embed quality across every stage of the development lifecycle.

Requirements

• Design and implement comprehensive test strategies tailored for both traditional software and AI components of the sovereign AI platform
• Develop and maintain automated testing frameworks to ensure robust and repeatable test coverage
• Lead the creation of detailed test plans, test cases, and clear acceptance criteria aligned with product requirements
• Define and monitor quality metrics, service level agreements (SLAs), and performance benchmarks to measure product reliability and effectiveness
• Integrate continuous testing processes within CI/CD pipelines to support rapid and reliable software delivery
• Collaborate closely with development and product teams to embed quality assurance throughout the software development lifecycle (SDLC)
• Drive adoption of best practices in quality assurance, testing automation, and process improvements across the organization
  
  

Role Requirements:

• Minimum of 8 years of experience in Quality Assurance engineering, with at least 4 years in leadership or managerial roles
• Proven expertise in designing, implementing, and maintaining test automation frameworks and tools
• Solid understanding of AI/ML testing methodologies, including the unique challenges related to model validation and data-driven testing
• Hands-on experience with performance testing, security testing, and reliability assessments for complex software systems
• Familiarity with DevOps principles and CI/CD pipeline integration to enable continuous testing and deployment
• Strong analytical mindset with exceptional problem-solving abilities and attention to detail
• Experience working within Agile development environments, supporting iterative and incremental testing processes
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline
  
  

Technical Requirements:

• Test Automation: Proficient in Selenium, Cypress, Playwright, and Cucumber for robust and scalable automated web and UI testing using BDD practices
• API Testing: Experience in using tools like Postman, REST Assured, SoapUI, Karate, and Newman to design, automate, and validate RESTful and SOAP API endpoints efficiently
• Performance Testing: Skilled in using JMeter, Gatling, and Locust to conduct load and stress testing
• AI/ML Testing: Familiarity with AI-focused testing tools like Great Expectations, Deepchecks, and Evidently AI for data and model validation
• CI/CD Integration: Hands-on experience integrating automated tests within CI/CD pipelines using Azure DevOps and GitHub Actions
• Test Management: Proficient in test planning and execution tools such as Azure Test Plans and TestRail
• Programming Languages: Strong coding skills in Python, JavaScript, and Java to develop and maintain automated test suites
  
  

Benefits

• Be at the forefront of building sovereign AI platforms that drive digital independence and transformation
• Work with some of the most forward-thinking clients, engineering minds, and thought leaders in AI infrastructure
• Grow your impact in a purpose-driven, innovation-led culture that values agility, inclusion, and continuous learning
• Professional development opportunities through continuous learning, mentorship in a conducive cross-cultural work environment
• Work on cutting-edge technology with real-world impact
  
  

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